Mary𓏲ּ𝄢£stharr (@Marii_crypt) header
Mary𓏲ּ𝄢£stharr (@Marii_crypt) profile picture

Running socials for startups & crypto brands one LEGACY at a time ✧ Ghostwriter

Joined June 2020
Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)Photo by Mary𓏲ּ𝄢£stharr (@Marii_crypt)
for startups, distribution can be just as important as the product itself. i came across a fitness platform over the weekend that was listed for sale for just $900. my first thought was that it was probably some unfinished idea or an early-stage project someone had given up on. but after reading the details, the website was already live, the codebase was complete, with over 500 structured training programs included. the surprising part wasn't the product itself, it was the fact that it had no users and made no revenue. made me rethink how many genuinely good products get abandoned or sold off, not because they're bad, but because their founders never found the people who needed them. if you're building a startup and looking for someone to help with distribution and social, happy to exchange notes.
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Mary𓏲ּ𝄢£stharr retweeted
UPDATE ON @primus_labs POINTS AND AIRDROP New tasks are now available on Primus Labs. Complete them to earn points that could be converted into an airdrop. Here’s how to get started 👇 → Visit: points.primuslabs.xyz?ref=7K… • Connect your wallet. • Explore and complete the available tasks. • Verify your completed activities onchain. • Earn your reputation score. Note: Onchain verification on Base requires a small amount of ETH for gas fees, so make sure your wallet has enough. You can also participate in their KAITO campaign here: s.kaito.ai/VzYCenp Get your tasks done and keep building your onchain reputation!
Want to build your onchain reputation with @primus_labs? Here’s what you need to know. The platform rewards verified records with XPs, its reputation scoring system. Every successful verification adds to your Primus onchain reputation on the app. So, what can you verify? →Proof of PnL: Polymarket, FOMO, Hyperliquid. → Proof of AI Infinity: OpenAI, MiniMax, DeepSeek, Cursor. → Proof of Trade: Binance, Bybit, OKX, Bitget. All these verifications are powered by Primus zkTLS, allowing you to verify records securely. One more thing. You need Base chain gas fees to complete your verifications. Verify your records, earn XPs, and build your onchain reputation with @primus_labs. Check out link here: s.kaito.ai/VzYCenp
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Mary𓏲ּ𝄢£stharr retweeted
as we get better at intelligence, we get worse at memory. memory is one of the few problems in ai that's getting harder to ignore. we're improving hardware and our ability to run LLM inference much faster than we're improving the systems that store and retrieve information. this creates a growing gap between how much ai can do and how much it can reliably remember. one way to address this is to build better infrastructure for persistent memory and shared context. which led me to explore @FulcraDynamics
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Mary𓏲ּ𝄢£stharr retweeted
blockchains can verify on-chain transactions and activity, but how can applications verify information or actions that happen outside the blockchain? think about checking a bank balance, confirming a company's reserves, or verifying whether an AI agent performed a required action. how can these records be verified while keeping sensitive details private? that's the problem @primus_labs is working to solve. Primus describes itself as a unified verification layer for data, state, and actions across blockchains, APIs, and real-world systems. its confidentiality infrastructure is designed to work above existing on-chain financial rails while protecting sensitive financial activity. zkTLS helps authenticate web data, while FHE enables computation on encrypted information. together, they support Primus's approach to verification and privacy. its website highlights four key use cases: 1. Proof of Reserves: verifiable reserve records for exchanges, stablecoin issuers, custodians, and asset managers, with sensitive operational details kept private. 2. Confidential Financial Services: confidential payments, stablecoin transfers, and institutional settlement. 3. Trusted Credit Infrastructure: verified identity, assets, income, and behavioral data for privacy-preserving credit and lending. 4. Trusted AI Data: verification of AI workflows, conversations, and execution records for AI training, knowledge marketplaces, and autonomous applications. the common thread is simple: verifiable information and activity, with control over which private details are disclosed. i've been exploring Primus through its Chrome extension, verifying my own platform records across X, Binance, TikTok, and Spotify. my dashboard now shows **18 records and a Reputation Score of 180**. first post in my series. next, i'll explore these use cases in more detail and what they could mean in practice. the real value of verification is what it makes possible. explore primus: points.primuslabs.xyz?ref=A0…. @primus_labs @KaitoAI
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Mary𓏲ּ𝄢£stharr retweeted
what caught my attention about @projectspherexy is that the creator campaign has more than one way to benefit from participating the top 20 on @rarelistio get 100 USDT each, the top 100 get guaranteed whitelist spots and the top 200 share 2% of the token supply there is also a whitelist raffle for the top 500 so your position on the leaderboard matters, especially if you are aiming for more than just visibility i like seeing a campaign with clear reward tiers where creators have different milestones to work toward. will you be joining?
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Mary𓏲ּ𝄢£stharr retweeted
What if you could prove what a website says about you without sharing the entire page? That's one of the ideas behind @primus_labs 's zkTLS. Let's make it simple. Imagine you want to prove that you hold a particular credential or meet a specific requirement on a website. Normally, you might share a screenshot or hand over a record containing more information than the other party actually needs. But screenshots can be difficult to verify independently, and sharing an entire record can expose details you'd rather keep private. This is where zkTLS comes in. TLS stands for Transport Layer Security. It's the technology that helps protect communication between your browser and a website. Primus builds on this foundation by combining TLS with zero-knowledge proofs to help verify the authenticity of web data without revealing the underlying information itself. In simple terms, it helps turn information retrieved from the internet into something an application can verify. Consider a practical example. Suppose a Web3 application needs to check whether a user meets a particular requirement based on information held by an online service. Instead of making the user's entire record public, zkTLS can help establish that the relevant information came from the website and generate evidence that an application can verify. The application can then use that evidence in its decision-making process. This creates an interesting connection between Web2 and Web3. Web2 holds much of the information we use every day, from account records to online credentials. Web3 applications, meanwhile, can benefit from information that is verifiable rather than simply accepted at face value. Primus is working to bridge that gap through its zkTLS technology. Of course, verification has a specific purpose: proving what a source actually provided does not automatically mean every claim made by that source is true. The reliability of the source and the verification process still matter. That's an important distinction when building systems that people need to trust. For me, the interesting part of zkTLS is the possibility of making existing internet data more useful to blockchain applications without treating public disclosure as the default. Would you be more comfortable using Web3 applications if you could prove specific information about yourself without sharing your entire online record? Join me here: s.kaito.ai/iIn9QZI
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this close to losing my mind over the Rarelist leaderboard kudos to yall still grinding over there 😭
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one of the sexiest things a brand can do online is community management. and i'm not talking about replying to comments under their own posts. i mean showing up where their audience is, joining conversations and interacting with pple. and please, not the “unhinged social media manager” thing.
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Mary𓏲ּ𝄢£stharr retweeted
Good morning Gorgeous It’s Thursday and I woke up blessed 🥰❤️ My mutuals are trying to send me a package 😳
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Mary𓏲ּ𝄢£stharr retweeted
𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗺𝗮𝗿𝗸𝗲𝘁𝘀 𝗺𝗼𝘃𝗲 𝘄𝗶𝘁𝗵 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻. but when there's too much information, figuring out what actually matters can be difficult. that's where ai-powered insights can be very useful. @bagel_win uses ai to provide market analysis, key information, and prediction insights. the goal? make markets easier to understand without making the experience more complicated. better context matters.
🤝 Paid partnership
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Mary𓏲ּ𝄢£stharr retweeted
imagine your bank making every transaction visible to the entire internet. you wouldn’t be comfortable with that, right? now imagine moving trillions in financial assets onchain, privacy becomes even more important. DTCC has launched its Tokenization Service, with 20 participants signing up on day one, including major names like JPMorgan and Citi. ZKsync is one of the firms collaborating with DTCC. Matter Labs is also providing privacy features with Prividium. institutions need privacy and control while still working with their existing systems, that’s why privacy could be key to bringing traditional finance onchain at scale.
Congrats to @The_DTCC on the launch of its Tokenization Service. We’re proud to be among the firms collaborating with DTCC. @the_matter_labs is providing privacy features with Prividium. DTCC provides custody and asset servicing for more than $114 trillion in securities.
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Mary𓏲ּ𝄢£stharr retweeted
Gm rarelist Web3 has many creators, but standing out takes more than posting every day. I'm using @rarelistio to discover projects, improve my research, and create content that adds value. The goal is to grow my skills while I grow my name. What are you building today?
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Mary𓏲ּ𝄢£stharr retweeted
DATA Network is joining @SuiNetwork bringing Trace for data provenance and usage rights, with Walrus as its default storage layer > 250M+ receipts already recorded on Trace > $30M investment from the Sui Foundation DATA Network connects the data ecosystem with AI companies that need data to train their models watch the video for more info and check comment for the article 🔻🔻 @datafdn #DATAonSuiQuest
DATA is coming to @SuiNetwork. The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads. With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer. Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor. In the coming months: ▸ The DATA Network will be upgraded to run as a protocol natively on Sui ▸ Walrus becomes the default storage layer for DATA Foundation apps ▸ $DATA remains the token of the DATA protocol The next chapter of DATA starts here.
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Mary𓏲ּ𝄢£stharr retweeted
What if every piece of data used to train AI came with a receipt? That’s the idea behind Trace, and why DATA’s planned move to Sui caught my attention. @datafdn @SuiNetwork #DATAonSuiQuest
DATA is coming to @SuiNetwork. The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads. With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer. Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor. In the coming months: ▸ The DATA Network will be upgraded to run as a protocol natively on Sui ▸ Walrus becomes the default storage layer for DATA Foundation apps ▸ $DATA remains the token of the DATA protocol The next chapter of DATA starts here.
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Mary𓏲ּ𝄢£stharr retweeted
Good Morning Legends NOTE: Was I too harsh?
So..., In your last 12 months of trading the market profitably, you have never earned more than 8% ROI in one month The few times you did, you blew the account within a few weeks Yet you are believing God that you will pass a prop challenge between now & Christmas Your vain belief is so strong that.... Even when Baba God has lead you to my post immediately after service, to purchase an instant funded account this week, you are scrolling past😤 No be Juju be that? Oga madam, purchase your instant funded account today My market is your prayer point 👇🏽 cabinet.10tradefx.com/links/…
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Y'all, it's our four years, but no graduation in this institution. Four years ago, I said YES to forever, and it has been a beautiful journey. To my dearest friend and husband, thank you for doing life with me. If I had to choose all over again, I'd still choose you. You're simply exceptional, and I'm grateful for the love we share.💚 My prayer is that God continues to renew our love daily and bless our home with all the beautiful fruits of marriage. X Family, please celebrate with us and say a prayer for our home.
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Mary𓏲ּ𝄢£stharr retweeted
What if blockchain applications could verify information without requiring everyone to see it? That's the idea behind what Primus is building. @primus_labs , formerly known as PADO, is developing a trust, verification, and privacy layer for the crypto and AI economy. To understand why this matters, let's look at how information moves between different systems. A blockchain application may need information from outside its network to make a decision. An AI agent might need reliable data before taking an action. A financial application might need to verify a user's records without exposing unnecessary personal details. In each case, two things matter: the information must be trustworthy, and sensitive details should remain protected. Primus is working to bring these capabilities together. Its approach combines two technologies: • zkTLS: Helps prove the authenticity of data obtained through web-based connections without revealing the underlying information itself. • zkFHE: Enables computations on encrypted data, allowing information to be processed while remaining encrypted. These technologies address different parts of the problem, but they share an important goal: making information useful without requiring it to be exposed by default. There's another part of Primus's approach worth paying attention to. Rather than requiring applications and users to move to an entirely new blockchain, Primus describes its technology as a layer that can integrate with existing blockchain ecosystems. That matters because developers can explore privacy-preserving applications within ecosystems where users, liquidity, and other applications already exist. Primus also provides developer APIs intended to help connect its underlying technology to real applications. The bigger picture is not simply about keeping information hidden. It's about making data verifiable and useful while protecting the information people may not want to disclose. As blockchain applications and AI agents take on more complex tasks, that balance becomes increasingly important. Where do you think privacy and verification could make the biggest difference: AI agents, on-chain finance, or everyday Web3 applications?
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& if social media didn’t exist anymore, would even half of yall still be living & doing the things you’re currently posting
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Mary𓏲ּ𝄢£stharr retweeted
GM CT AI and gaming can be an interesting combination, but the real question is whether the gameplay is enjoyable. With @agentdojo, I want to understand more than the idea of AI fighters. How much control does a player have? How different can two agents become? What makes someone want to return for another battle? A strong concept needs an engaging experience behind it. What makes an AI game worth playing more than once?
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Mary𓏲ּ𝄢£stharr retweeted
𝗜𝗳 𝘆𝗼𝘂’𝘃𝗲 𝗲𝘃𝗲𝗿 𝘁𝗿𝗶𝗲𝗱 𝘁𝗼 𝘀𝗲𝗻𝗱 𝗨𝗦𝗗𝗧 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝗲𝗱 𝘁𝗵𝗮𝘁 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱𝗲𝗱 𝗘𝗧𝗛 𝘁𝗼 𝗽𝗮𝘆 𝘁𝗵𝗲 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗳𝗲𝗲, 𝘆𝗼𝘂’𝘃𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘀𝗲𝗲𝗻 𝘁𝗵𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗮 𝗰𝗼𝗶𝗻 𝗮𝗻𝗱 𝗮 𝘁𝗼𝗸𝗲𝗻 𝗶𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. It can be confusing at first. You have USDT in your wallet, you enter the recipient’s address, and you expect the transfer to go through. Then the wallet tells you that you also need ETH. Why? Because USDT and ETH play different roles. A blockchain is a digital network that records and verifies transactions. You can think of it as a shared system that allows people to transfer digital assets without relying on one central company or database. A coin is the native currency of its own blockchain. For example: — Bitcoin (BTC) runs on the Bitcoin blockchain. — Ether (ETH) runs on Ethereum. — SOL runs on Solana. These coins are not just assets people buy and sell. They are also used to pay for activity on their respective networks. If you send BTC on the Bitcoin network, the transaction fee is paid in BTC. If you send ETH on Ethereum, the fee is paid in ETH. If you use the Solana network, fees are generally paid in SOL. A token, on the other hand, is a digital asset created on top of an existing blockchain. It does not need to operate on a separate blockchain of its own. USDT is one of the most familiar examples. It is a stablecoin designed to track the value of the US dollar, but it can be issued on several different blockchains, including Ethereum, Tron, Solana, and others. That means there is not just one version of USDT in every practical sense, the network it’s on matters. USDT held on Ethereum is different from USDT held on Tron or Solana because each version uses a different network. The balance may still be shown as USDT, but the transaction rules and fee requirements depend on the blockchain being used. This is where many people run into trouble. Suppose your USDT is on Ethereum. To send it, you will usually need some ETH in the same wallet to pay the Ethereum network fee. Your USDT is the asset being transferred, but ETH is what pays the network to process and confirm the transaction. Having enough USDT does not necessarily mean you have enough to send it. If your USDT is on Tron, you may need TRX instead. If it is on Solana, you will generally need SOL. The required fee currency depends on the network where the token is located. This is also why choosing the correct network when depositing or withdrawing crypto is so important. Sending an asset through the wrong network can cause delays, extra costs, or, in some cases, make the funds difficult to recover. Coins and tokens can also serve very different purposes. Some tokens are used for payments or transfers. Others give holders voting rights in a project. Some provide access to a product or service, while others are designed to represent assets, rewards, or ownership within a particular system. A coin is not automatically better, safer, or more valuable than a token. The distinction mainly describes how the asset relates to a blockchain. In simple terms: ➥ Blockchain: the network that records and verifies transactions. ➥ Coin: the native currency of its own blockchain. ➥ Token: a digital asset built on an existing blockchain. ➥ Network fee: the payment required to process a transaction. ➥ Fee currency: the coin used to pay that network fee. So, if you remember only one example, remember this: USDT may be the asset you want to send, but ETH, TRX, or SOL may be needed to pay the network fee, depending on where that USDT is held. Quick question; before today, did you know that ETH is a coin while USDT is a token?
🤖 Made with AI
𝑶𝒏𝒆 𝒕𝒉𝒊𝒏𝒈 𝑰’𝒗𝒆 𝒃𝒆𝒆𝒏 𝒕𝒓𝒚𝒊𝒏𝒈 𝒕𝒐 𝒖𝒏𝒅𝒆𝒓𝒔𝒕𝒂𝒏𝒅 𝒃𝒆𝒕𝒕𝒆𝒓 𝒊𝒏 𝑫𝒆𝑭𝒊 𝒊𝒔 𝒘𝒉𝒆𝒓𝒆 𝒕𝒉𝒆 𝒚𝒊𝒆𝒍𝒅 𝒂𝒄𝒕𝒖𝒂𝒍𝒍𝒚 𝒄𝒐𝒎𝒆𝒔 𝒇𝒓𝒐𝒎. You see platforms offering returns on stablecoins, and it’s easy to focus on the percentage. But I think the more important question is: who is paying that money, and why? This question is what led me to Maple Finance. Maple has a product called Syrup, which gives users access to yield opportunities linked to institutional lending. Here’s a brief explanation: Imagine a crypto business that needs USDC to run its operations. It could sell some of its assets to get the money, or it could look for a loan. If it borrows USDC from a lending pool, it has to pay interest on that loan. That interest is one of the ways lenders can earn a return. This is the basic idea behind lending: one party needs money, another party provides it, and the borrower pays for the privilege of using that money. Maple brings this idea into the onchain world through its lending products. Instead of everything happening through traditional lending systems, parts of the process can be handled using blockchain infrastructure. There’s more to it than that, We often talk about DeFi as if it’s just swapping tokens, farming rewards, or looking for the next opportunity. But lending is another important part of it. There are borrowers who need capital, lenders looking for returns, and platforms trying to connect the two. Still, there’s something I wouldn’t ignore. Earning interest from a loan doesn’t mean the loan is guaranteed to be repaid. A borrower can run into financial problems and fail to repay. Even when a loan has collateral, that collateral might not be enough to cover the full amount owed. There are also risks linked to the platform, its smart contracts, and the terms of the product. So the next time you come across a DeFi platform offering attractive returns, don’t stop at the APY. Ask yourself: ➥ Where is the yield coming from? ➥ Who is paying for it? ➥ And what happens if the borrower can’t pay back the loan? These are important questions to ask before putting your money into any DeFi product. Because understanding how the money is made is just as important as knowing how much you could earn. So, what do you check first when you see a DeFi platform offering yield?
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Mary𓏲ּ𝄢£stharr retweeted
Ai agents are taking over tbh… bots are making people money everyday trading is as easy as texting, what a time we are in i was using @MojoAI_HQ the other day by just texting it to buy $HYPE and it did in a matter of seconds even tho i only have USDC on sol, it automatically bridged it and then bought my token amazing tek tbh, check it out here:
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